EE103 – Applied Numerical Computing

Winter 2000

 

Teaching Assistant:  Brien Alkire

 

We can use numerical methods to solve lots of interesting problems in engineering as demonstrated by the jfirls utility.

 

* Sections Taught:

      1A – Monday, 4-4:50PM, 3760 Boelter Hall

      1F – Thursday, 1-1:50PM, 3760 Boelter Hall

      1E – Thursday, 2-2:50PM, 3760 Boelter Hall

* Office Hours:

      Thursdays from 9-10AM, room 57-124, Eng. IV

      I will hold an extra office hour from 1PM to 2PM on Monday, February 14, in room 57-124, Eng. IV to help students prepare for the exam on February 17.  Check back at this website for additional announcements.

      To help students prepare for the final exam I will hold an extra office hour from 1PM to 2PM on Monday, March 13, in room 57-124, Eng. IV and an extra hour from 2:50PM to 3:50PM on Thursday, March 16 in room 3760, Boelter Hall.  We shall be doing a review in the normal recitation sections that week as well.

* Final Exam Time and Location:  Thursday, March 23, 3:00-6:00P, Dickson 2160E (North Campus).

* Materials:

       Week 1 – Introduction to Matlab:  HTML, MS Word (2000 and 97), Post Script, PDF

       Week 2  – Accuracy:  HTML, MS Word (2000 and 97), Post Script, PDF

       Week 3 – Matrices and Vectors:  HTML, MS Word (2000 and 97), Post Script, PDF

       Week 4 – Linear Equations:  HTML, MS Word (2000 and 97), Post Script, PDF

       Week 5 – Matrix Factorizations and Matrix Norms:  HTML, MS Word (2000 and 97), Post Script, PDF

       Week 6 – Review for Midterm Exam:  HTML, MS Word (2000 and 97), Post Script, PDF

       Week 7 – Positive Semidefinite Matrices and Linear Least Squares:  HTML, MS Word (2000 and 97), Post Script, PDF

       Week 8 – Linear Least Squares and QR-Factorization:  HTML, MS Word (2000 and 97), Post Script, PDF

       Week 9 – Newton’s Method:  HTML, MS Word (2000 and 97), Post Script, PDF

       Week 10 – Review for Final Exam:  HTML, MS Word (2000 and 97), Post Script, PDF

TA Workshop Talk:  Recitations (html, ps, pdf, ppt 2k)

 

* Useful Links:

      Course Homepage – the homepage for the lecture section

      MathWorks – the makers of Matlab.  There’s lots of good information available at this website

      comp.soft-sys.matlab – a newsgroup dedicated to Matlab.  Either use your news group viewer or visit www.deja.com for an HTML interface.

* Useful Reference Books:

      Philip E. Gill, Walter Murray, Margaret H. Wright, Numerical Linear Algebra and Optimization, Volume 1, Addison-Wesley Publishing Company, Redwood City, CA, 1991.  ISBN 0-201-12649-4.  UCLA SEL/EMS Library call number QA 184 G55 1991.

This book is a little too advanced for this course.  Linear algebra is the biggest stumbling block for most students, the first chapter of this book will be of great help in that area.  It is a very useful reference for the linear algebra related topics.